{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Visualization "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np  \n",
    "import pandas as pd\n",
    "import sklearn\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_por = pd.read_csv('student-por.csv')\n",
    "train_mat  = pd.read_csv('student-mat.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>school</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>address</th>\n",
       "      <th>famsize</th>\n",
       "      <th>Pstatus</th>\n",
       "      <th>Medu</th>\n",
       "      <th>Fedu</th>\n",
       "      <th>Mjob</th>\n",
       "      <th>Fjob</th>\n",
       "      <th>...</th>\n",
       "      <th>famrel</th>\n",
       "      <th>freetime</th>\n",
       "      <th>goout</th>\n",
       "      <th>Dalc</th>\n",
       "      <th>Walc</th>\n",
       "      <th>health</th>\n",
       "      <th>absences</th>\n",
       "      <th>G1</th>\n",
       "      <th>G2</th>\n",
       "      <th>G3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>18</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>A</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>at_home</td>\n",
       "      <td>teacher</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>17</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>at_home</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>15</td>\n",
       "      <td>U</td>\n",
       "      <td>LE3</td>\n",
       "      <td>T</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>at_home</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>15</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>health</td>\n",
       "      <td>services</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>16</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>other</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  school sex  age address famsize Pstatus  Medu  Fedu     Mjob      Fjob ...  \\\n",
       "0     GP   F   18       U     GT3       A     4     4  at_home   teacher ...   \n",
       "1     GP   F   17       U     GT3       T     1     1  at_home     other ...   \n",
       "2     GP   F   15       U     LE3       T     1     1  at_home     other ...   \n",
       "3     GP   F   15       U     GT3       T     4     2   health  services ...   \n",
       "4     GP   F   16       U     GT3       T     3     3    other     other ...   \n",
       "\n",
       "  famrel freetime  goout  Dalc  Walc health absences  G1  G2  G3  \n",
       "0      4        3      4     1     1      3        4   0  11  11  \n",
       "1      5        3      3     1     1      3        2   9  11  11  \n",
       "2      4        3      2     2     3      3        6  12  13  12  \n",
       "3      3        2      2     1     1      5        0  14  14  14  \n",
       "4      4        3      2     1     2      5        0  11  13  13  \n",
       "\n",
       "[5 rows x 33 columns]"
      ]
     },
     "execution_count": 216,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_por.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>school</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>address</th>\n",
       "      <th>famsize</th>\n",
       "      <th>Pstatus</th>\n",
       "      <th>Medu</th>\n",
       "      <th>Fedu</th>\n",
       "      <th>Mjob</th>\n",
       "      <th>Fjob</th>\n",
       "      <th>...</th>\n",
       "      <th>famrel</th>\n",
       "      <th>freetime</th>\n",
       "      <th>goout</th>\n",
       "      <th>Dalc</th>\n",
       "      <th>Walc</th>\n",
       "      <th>health</th>\n",
       "      <th>absences</th>\n",
       "      <th>G1</th>\n",
       "      <th>G2</th>\n",
       "      <th>G3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>18</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>A</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>at_home</td>\n",
       "      <td>teacher</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
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       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>at_home</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
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       "      <th>2</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
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       "      <td>U</td>\n",
       "      <td>LE3</td>\n",
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       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
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       "      <td>10</td>\n",
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       "      <th>3</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>15</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>health</td>\n",
       "      <td>services</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>15</td>\n",
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       "      <th>4</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
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       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>other</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  school sex  age address famsize Pstatus  Medu  Fedu     Mjob      Fjob ...  \\\n",
       "0     GP   F   18       U     GT3       A     4     4  at_home   teacher ...   \n",
       "1     GP   F   17       U     GT3       T     1     1  at_home     other ...   \n",
       "2     GP   F   15       U     LE3       T     1     1  at_home     other ...   \n",
       "3     GP   F   15       U     GT3       T     4     2   health  services ...   \n",
       "4     GP   F   16       U     GT3       T     3     3    other     other ...   \n",
       "\n",
       "  famrel freetime  goout  Dalc  Walc health absences  G1  G2  G3  \n",
       "0      4        3      4     1     1      3        6   5   6   6  \n",
       "1      5        3      3     1     1      3        4   5   5   6  \n",
       "2      4        3      2     2     3      3       10   7   8  10  \n",
       "3      3        2      2     1     1      5        2  15  14  15  \n",
       "4      4        3      2     1     2      5        4   6  10  10  \n",
       "\n",
       "[5 rows x 33 columns]"
      ]
     },
     "execution_count": 217,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_mat.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(649, 33)"
      ]
     },
     "execution_count": 218,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_por.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(649, 33)"
      ]
     },
     "execution_count": 219,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_por.dropna().shape #no null values in train_por"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(395, 33)"
      ]
     },
     "execution_count": 220,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_mat.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(395, 33)"
      ]
     },
     "execution_count": 221,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_mat.dropna().shape #no null values in train_mat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {},
   "outputs": [],
   "source": [
    "subset=train_por.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(649, 33)"
      ]
     },
     "execution_count": 223,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_por=train_por.drop_duplicates(subset=None, keep='first', inplace=False)\n",
    "train_por.shape    #no duplicates in train_por"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {},
   "outputs": [],
   "source": [
    "subset=train_mat.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(395, 33)"
      ]
     },
     "execution_count": 225,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_mat=train_mat.drop_duplicates(subset=None, keep='first', inplace=False)\n",
    "train_mat.shape    #no duplicates in train_mat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_por['subject']='Portuguese'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_mat['subject']='Maths'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "metadata": {},
   "outputs": [],
   "source": [
    "train=pd.concat([train_por, train_mat], axis=0) #combining two data files with subject as discriminant column to distinguish columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
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       "      <th>subject</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
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       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>Portuguese</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GP</td>\n",
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       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>at_home</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>Portuguese</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>15</td>\n",
       "      <td>U</td>\n",
       "      <td>LE3</td>\n",
       "      <td>T</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>at_home</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>Portuguese</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>15</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>health</td>\n",
       "      <td>services</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>Portuguese</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>16</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>other</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>Portuguese</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  school sex  age address famsize Pstatus  Medu  Fedu     Mjob      Fjob  \\\n",
       "0     GP   F   18       U     GT3       A     4     4  at_home   teacher   \n",
       "1     GP   F   17       U     GT3       T     1     1  at_home     other   \n",
       "2     GP   F   15       U     LE3       T     1     1  at_home     other   \n",
       "3     GP   F   15       U     GT3       T     4     2   health  services   \n",
       "4     GP   F   16       U     GT3       T     3     3    other     other   \n",
       "\n",
       "      ...     freetime goout  Dalc  Walc  health absences  G1  G2  G3  \\\n",
       "0     ...            3     4     1     1       3        4   0  11  11   \n",
       "1     ...            3     3     1     1       3        2   9  11  11   \n",
       "2     ...            3     2     2     3       3        6  12  13  12   \n",
       "3     ...            2     2     1     1       5        0  14  14  14   \n",
       "4     ...            3     2     1     2       5        0  11  13  13   \n",
       "\n",
       "      subject  \n",
       "0  Portuguese  \n",
       "1  Portuguese  \n",
       "2  Portuguese  \n",
       "3  Portuguese  \n",
       "4  Portuguese  \n",
       "\n",
       "[5 rows x 34 columns]"
      ]
     },
     "execution_count": 229,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "metadata": {},
   "outputs": [],
   "source": [
    "train.to_csv('students.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {},
   "outputs": [],
   "source": [
    "# contains all the merged data\n",
    "data = pd.read_csv('students.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['school', 'sex', 'age', 'address', 'famsize', 'Pstatus', 'Medu', 'Fedu',\n",
       "       'Mjob', 'Fjob', 'reason', 'guardian', 'traveltime', 'studytime',\n",
       "       'failures', 'schoolsup', 'famsup', 'paid', 'activities', 'nursery',\n",
       "       'higher', 'internet', 'romantic', 'famrel', 'freetime', 'goout', 'Dalc',\n",
       "       'Walc', 'health', 'absences', 'G1', 'G2', 'G3', 'subject'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 232,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'school', data=data, order=['GP','MS'])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"school\")\n",
    "figure.grid(False)\n",
    "plt.title('School Distribution')\n",
    "plt.savefig('school.png', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'sex', data=data, order=['M','F'])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"gender\")\n",
    "figure.grid(False)\n",
    "plt.title('Gender Distribution')\n",
    "plt.savefig('gender.png', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "22"
      ]
     },
     "execution_count": 235,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['age'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15"
      ]
     },
     "execution_count": 236,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['age'].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'age', data=data, order=[15,16,17,18,19,20,21,22])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"age\")\n",
    "figure.grid(False)\n",
    "plt.title('Age Distribution')\n",
    "plt.savefig('age_plot.png', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'address', data=data, order=['U','R'])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"address\")\n",
    "figure.grid(False)\n",
    "plt.title('Address Distribution')\n",
    "plt.savefig('address_plot.png', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 239,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['GT3', 'LE3'], dtype=object)"
      ]
     },
     "execution_count": 239,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['famsize'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'famsize', data=data, order=['GT3','LE3'])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"famsize\")\n",
    "figure.grid(False)\n",
    "plt.title('Family Distribution')\n",
    "plt.savefig('family_plot.png', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'Pstatus', data=data, order=['A','T'])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"status\")\n",
    "figure.grid(False)\n",
    "plt.title('Parents status Distribution')\n",
    "plt.savefig('Pstatus_plot.png', bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#(numeric: 0 - none, 1 - primary education (4th grade), 2 - 5th to 9th grade, 3 - secondary education or 4 - higher education) \n",
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'Medu', data=data, order=[0,1,2,3,4])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"Mother Education\")\n",
    "figure.grid(False)\n",
    "plt.title('Parent Education Distribution')\n",
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'Fedu', data=data, order=[0,1,2,3,4])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"Father Education\")\n",
    "figure.grid(False)\n",
    "plt.savefig('Parent_Education_plot.png', bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# (nominal: 'teacher', 'health' care related, civil 'services' (e.g. administrative or police), 'at_home' or 'other') \n",
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'Mjob', data=data, order=['teacher','health','services','at_home','other'])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"Mother Job\")\n",
    "figure.grid(False)\n",
    "plt.title('Parent Job Distribution')\n",
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'Fjob', data=data, order=['teacher','health','services','at_home','other'])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"Father Job\")\n",
    "figure.grid(False)\n",
    "plt.savefig('Parent_Job_plot.png', bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#(nominal: close to 'home', school 'reputation', 'course' preference or 'other')\n",
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'reason', data=data, order=['home','reputation','course','other'])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"reason to chose this school\")\n",
    "figure.grid(False)\n",
    "plt.title('Reason Distribution')\n",
    "plt.savefig('Reason_plot.png', bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#(nominal: 'mother', 'father' or 'other')\n",
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'guardian', data=data, order=['mother','father','other'])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"Guardian\")\n",
    "figure.grid(False)\n",
    "plt.title('Guardian Distribution')\n",
    "plt.savefig('Guardian_plot.png', bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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5LAFubctrgd0B2vbHAz+a7mtIkmbWVAGxtKquXb+xqlYz+PrRR5RkUZKFbXkb4BDgBuASYOIdUCuAc9vyeTx4W/GXAZ+vqoeNICRJs2OqaxBbT7Jtmyn23Q1Y1a5DbAacXVXnJ/km8PEk7wG+BpzW+p8G/H2SNQxGDkdPWb0kaWSmCoirkvynqvo/w41JjmNw8fkRtZHHMzvtNzG4HrF++78x+JyFJGkOmCog3gCck+QYHgyE5cCWwEtHWZgkabwmDYiquh14bpIXAL/Rmj9TVZ8feWWSpLGa7vdBXMLg4rIkaRMx3U9SS5I2MQaEJKnLgJAkdRkQkqQuA0KS1GVASJK6DAhJUpcBIUnqMiAkSV0GhCSpy4CQJHUZEJKkLgNCktRlQEiSugwISVKXASFJ6jIgJEldBoQkqcuAkCR1GRCSpC4DQpLUNbKASLJ7kkuS3JDk+iSvb+07JrkoyY3teYfWniQnJ1mT5Nok+46qNknS1EY5grgfeHNV7Q3sDxyf5GnACcDFVbUMuLitAxwGLGuPlcApI6xNkjSFkQVEVd1WVV9ty/cANwCLgSOAVa3bKuDItnwE8NEauBxYmGS3UdUnSZrcrFyDSLIUeCZwBbBrVd0GgxABdmndFgO3DO22trWtf6yVSVYnWb1u3bpRli1Jm7SRB0SSbYFPAm+oqh9P1rXTVg9rqDq1qpZX1fJFixbNVJmSpPWMNCCSbMEgHE6vqk+15tsnpo7a8x2tfS2w+9DuS4BbR1mfJOmRjfJdTAFOA26oqr8e2nQesKItrwDOHWo/tr2baX/g7ompKEnS7FswwmMfALwK+EaSa1rb24ETgbOTHAfcDBzVtl0AHA6sAe4FXj3C2iRJUxhZQFTVF+lfVwA4uNO/gONHVY8k6dHxk9SSpC4DQpLUZUBIkroMCElSlwEhSeoyICRJXQaEJKnLgJAkdRkQkqQuA0KS1GVASJK6DAhJUpcBIUnqMiAkSV0GhCSpy4CQJHUZEJKkLgNCktRlQEiSugwISVKXASFJ6jIgJEldBoQkqcuAkCR1jSwgknw4yR1Jrhtq2zHJRUlubM87tPYkOTnJmiTXJtl3VHVJkqZnlCOIjwCHrtd2AnBxVS0DLm7rAIcBy9pjJXDKCOuSJE3DyAKiqr4A/Gi95iOAVW15FXDkUPtHa+ByYGGS3UZVmyRparN9DWLXqroNoD3v0toXA7cM9Vvb2iRJYzJXLlKn01bdjsnKJKuTrF63bt2Iy5KkTddsB8TtE1NH7fmO1r4W2H2o3xLg1t4BqurUqlpeVcsXLVo00mIlaVM22wFxHrCiLa8Azh1qP7a9m2l/4O6JqShJ0ngsGNWBk5wJHAjsnGQt8N+AE4GzkxwH3Awc1bpfABwOrAHuBV49qrokSdMzsoCoqlc8wqaDO30LOH5UtUiSHr25cpFakjTHGBCSpK6RTTFJmtwBHzhg3CXMGV967ZfGXYI6HEFIkroMCElSlwEhSeoyICRJXQaEJKnLgJAkdRkQkqQuA0KS1GVASJK6DAhJUpcBIUnqMiAkSV0GhCSpy4CQJHUZEJKkLgNCktRlQEiSuvxGOUkbhcue/zvjLmHO+J0vXDYjx3EEIUnqMiAkSV0GhCSpy4CQJHXNqYBIcmiSbydZk+SEcdcjSZuyORMQSTYH/gY4DHga8IokTxtvVZK06ZozAQHsB6ypqpuq6ufAx4EjxlyTJG2yUlXjrgGAJC8DDq2qP2rrrwJ+u6pes16/lcDKtvoU4NuzWuiG2Rn4wbiL2Ih4PmeO53JmzZfz+cSqWjRVp7n0Qbl02h6WXlV1KnDq6MuZOUlWV9XycdexsfB8zhzP5cza2M7nXJpiWgvsPrS+BLh1TLVI0iZvLgXEVcCyJHsm2RI4GjhvzDVJ0iZrzkwxVdX9SV4DfBbYHPhwVV0/5rJmyryaEpsHPJ8zx3M5szaq8zlnLlJLkuaWuTTFJEmaQwwISVKXATFCST6c5I4k1427lvkuye5JLklyQ5Lrk7x+3DXNZ0m2TnJlkq+38/nOcdc03yXZPMnXkpw/7lpmigExWh8BDh13ERuJ+4E3V9XewP7A8d6K5TH5GXBQVT0D2Ac4NMn+Y65pvns9cMO4i5hJBsQIVdUXgB+Nu46NQVXdVlVfbcv3MPiPuHi8Vc1fNfCTtrpFe/iOlQ2UZAnwQuBD465lJhkQmneSLAWeCVwx3krmtzYlcg1wB3BRVXk+N9xJwFuBB8ZdyEwyIDSvJNkW+CTwhqr68bjrmc+q6pdVtQ+Duxbsl+Q3xl3TfJTkRcAdVXX1uGuZaQaE5o0kWzAIh9Or6lPjrmdjUVV3AZfi9bINdQDwkiTfZXAX6oOSfGy8Jc0MA0LzQpIApwE3VNVfj7ue+S7JoiQL2/I2wCHAt8Zb1fxUVW+rqiVVtZTBLYI+X1WvHHNZM8KAGKEkZwJfAZ6SZG2S48Zd0zx2APAqBr+dXdMeh4+7qHlsN+CSJNcyuA/aRVW10bw9UzPDW21IkrocQUiSugwISVKXASFJ6jIgJEldBoQkqcuA0CYjycIkfzxLr/XdJDt32t++3vqXZ6MeaUMYENqULAS6AZFk81mq4SEBUVXPnaXXlR41A0KbkhOBJ7cP2b0vyYHtOybOAL4BkOT/Jrm6fUfCytb2X5O8d+IgSf4wyQfa8ivb9ypck+SDkwVNkhOBbVrf01vbT9rzgUkuS3J2kv+X5MQkx7RjfyPJk1u/RUk+meSq9jhgROdKgqry4WOTeABLgeuG1g8EfgrsOdS2Y3veBrgO2AlYBKwZ6vOPwPOAvYFPA1u09r8Fjm3L3wV27tTwk956q+UuBp9w3gr4V+CdbdvrgZPa8hnA89ryHgxuPTL2c+tj43wsmOG8keabK6vqO0Prr0vy0ra8O7Csqi5PclP7Qp0bgacAXwKOB54FXDW4VRTbMLh19oa6qqpuA0jyL8DnWvs3gBe05UOAp7XXA9g+yXY1+I4MaUYZENrU/XRiIcmBDH4AP6eq7k1yKbB123wW8HIGN7Q7p6qq3UBwVVW9bYZq+dnQ8gND6w/w4P/VzVp9983Qa0qPyGsQ2pTcA2w3yfbHA3e2cHgqg682nfAp4EjgFQzCAuBi4GVJdgFIsmOSJ05Rwy/abcs31OeA10ysJNnnMRxLmpQBoU1GVf0Q+FKS65K8r9PlQmBBu8Ppu4HLh/a9E/gm8MSqurK1fRN4B/C5ts9FDK4hTOZU4NqJi9Qb4HXA8iTXJvkm8F828DjSlLybqySpyxGEJKnLgJAkdRkQkqQuA0KS1GVASJK6DAhJUpcBIUnq+v+ZvL6hpEuUIQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# (numeric: 1 - <15 min., 2 - 15 to 30 min., 3 - 30 min. to 1 hour, or 4 - >1 hour) \n",
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'traveltime', data=data, order=[1,2,3,4])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"travel time\")\n",
    "figure.grid(False)\n",
    "plt.title('Travel Time Distribution')\n",
    "plt.savefig('travel_time_plot.png', bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# (numeric: 1 - <2 hours, 2 - 2 to 5 hours, 3 - 5 to 10 hours, or 4 - >10 hours) \n",
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'studytime', data=data, order=[1,2,3,4])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"study time\")\n",
    "figure.grid(False)\n",
    "plt.title('Study Time Distribution')\n",
    "plt.savefig('Study_time_plot.png', bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#(numeric: n if 1<=n<3, else 4) \n",
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'failures', data=data, order=[0,1,2,3])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"failures\")\n",
    "figure.grid(False)\n",
    "plt.title('failures Distribution')\n",
    "plt.savefig('failures_plot.png', bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 249,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'schoolsup', data=data, order=['yes','no'])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"School Support\")\n",
    "figure.grid(False)\n",
    "plt.title('School Support Distribution')\n",
    "plt.savefig('school_support_plot.png', bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'famsup', data=data, order=['yes','no'])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"Family Support\")\n",
    "figure.grid(False)\n",
    "plt.title('Family Support Distribution')\n",
    "plt.savefig('Family_support_plot.png', bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'paid', data=data, order=['yes','no'])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"extra paid classes\")\n",
    "figure.grid(False)\n",
    "plt.title('Extra paid classes Distribution')\n",
    "plt.savefig('paid_claases_plot.png', bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'activities', data=data, order=['yes','no'])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"extra-curricular activities\")\n",
    "figure.grid(False)\n",
    "plt.title('extra-curricular activities Distribution')\n",
    "plt.savefig('extracurricular_plot.png', bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'nursery', data=data, order=['yes','no'])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"attended nursery\")\n",
    "figure.grid(False)\n",
    "plt.title('attended nursery Distribution')\n",
    "plt.savefig('attend_nursery_plot.png', bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'higher', data=data, order=['yes','no'])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"wants to take higher education\")\n",
    "figure.grid(False)\n",
    "plt.title('Students who want to take higher education Distribution')\n",
    "plt.savefig('higher_education_plot.png', bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'internet', data=data, order=['yes','no'])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"Internet access at home\")\n",
    "figure.grid(False)\n",
    "plt.title('Internet access at home Distribution')\n",
    "plt.savefig('school_support_plot.png', bbox_inches='tight')\n",
    "plt.savefig('internet_plot.png', bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'romantic', data=data, order=['yes','no'])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"With a romantic relationship\")\n",
    "figure.grid(False)\n",
    "plt.title('Students with a romantic relationship Distribution')\n",
    "plt.savefig('rom_relationship_plot.png', bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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SHqRmO8T0h6PzSbYBPjyWiiRJ88L63u77DmDXuSxEkjS/zPYaxGe599bbmzDctvukcRUlSZq82V6D+PuR6buA71XVyjHUI0maJ2Y1xNRu2vcthju6Phz4yTiLkiRN3mx/Ue75wFcZ7rb6fOD8JDPd7luStBGb7RDTnwF7VNUq+NmPAf078KlxFSZJmqzZforp56bCoblxHdaVJG2EZnsG8YUk/wac2OZfAJw2npIkSfPBTL9JvQvwyKp6Q5L/BfwaEIbfjf7oBqhPkjQhMw0TvRu4DaCqPlNVr6+q1zGcPbx73MVJkiZnpoBY2n5b+j6qajnDz49Kkh6kZgqILday7KFzWYgkaX6ZKSAuSPLy6Y1JjgAuHE9JkqT5YKZPMb0WODnJS7g3EJYBDwGeN87CJEmTtdaAqKrrgacleQbwhNb8+ao6c+yVSZImara/B3EWcNaYa5EkzSN+G1qS1GVASJK6DAhJUpcBIUnqMiAkSV0GhCSpy4CQJHWNLSCS7JzkrCSXJ7ksyWta+3ZJTk9yRXt8eGtPkvckWZHkkiRPHldtkqSZjfMM4i7gj6rqccBewCuTPB54I3BGVe0KnNHmAZ4F7Nr+jgTeP8baJEkzGFtAVNV1VXVRm74NuBxYDBwAHN+6HQ8c2KYPAE6owXnAtkl2HFd9kqS12yDXIJIsBZ4EnM/wC3XXwRAiwA6t22LgmpHVVra26ds6MsnyJMtXr149zrIlaUEbe0Ak2Qr4NPDaqvrh2rp22up+DVXHVNWyqlq2aNGiuSpTkjTNWAMiyWYM4fDRqvpMa75+auioPa5q7SuBnUdWXwJcO876JElrNs5PMQU4Fri8qt41suhU4NA2fShwykj7Ie3TTHsBt04NRUmSNrxZ3e57Pe0NvBS4NMnFre3NwDuBk9qv0l0NHNyWnQY8G1gB3AEcPsbaJEkzGFtAVNWX6V9XANi307+AV46rHknSuvGb1JKkLgNCktRlQEiSugwISVKXASFJ6jIgJEld4/wehDTv7P3evSddwpw79w/PnXQJepDyDEKS1GVASJK6DAhJUpcBIUnqMiAkSV0GhCSpy4CQJHUZEJKkLgNCktRlQEiSugwISVKXASFJ6jIgJEldBoQkqcuAkCR1GRCSpC4DQpLUZUBIkroMCElSlwEhSeoyICRJXQaEJKnLgJAkdRkQkqSusQVEkg8lWZXkGyNt2yU5PckV7fHhrT1J3pNkRZJLkjx5XHVJkmZnnGcQxwHPnNb2RuCMqtoVOKPNAzwL2LX9HQm8f4x1SZJmYWwBUVVfAm6a1nwAcHybPh44cKT9hBqcB2ybZMdx1SZJmtmGvgbxyKq6DqA97tDaFwPXjPRb2druJ8mRSZYnWb569eqxFitJC9l8uUidTlv1OlbVMVW1rKqWLVq0aMxlSdLCtaED4vqpoaP2uKq1rwR2Hum3BLh2A9cmSRqxoQPiVODQNn0ocMpI+yHt00x7AbdODUVJkiZj03FtOMmJwG8C2ydZCfwl8E7gpCRHAFcDB7fupwHPBlYAdwCHj6suSdLsjC0gqupFa1i0b6dvAa8cVy2SpHU3Xy5SS5LmGQNCktRlQEiSugwISVKXASFJ6jIgJEldBoQkqcuAkCR1GRCSpC4DQpLUZUBIkroMCElSlwEhSeoyICRJXQaEJKnLgJAkdY3tB4M0f1z9V78y6RLm3KPecumkS5Ae9DyDkCR1GRCSpC4DQpLUZUBIkroMCElSlwEhSep60H7M9VffcMKkS5hzF/7dIZMuQdIC4hmEJKnLgJAkdRkQkqQuA0KS1GVASJK6DAhJUpcBIUnqMiAkSV3zKiCSPDPJt5OsSPLGSdcjSQvZvAmIJJsA/wg8C3g88KIkj59sVZK0cM2bgAD2BFZU1ZVV9RPg48ABE65JkhasVNWkawAgyUHAM6vqZW3+pcBTqupV0/odCRzZZncDvr1BC+3bHrhh0kXMEx6LgcfhXh6Le82XY/Hoqlo0U6f5dLO+dNrul15VdQxwzPjLmb0ky6tq2aTrmA88FgOPw708Fvfa2I7FfBpiWgnsPDK/BLh2QrVI0oI3nwLiAmDXJI9J8hDghcCpE65JkhaseTPEVFV3JXkV8G/AJsCHquqyCZc1W/NqyGvCPBYDj8O9PBb32qiOxby5SC1Jml/m0xCTJGkeMSAkSV0GxHpK8qEkq5J8Y9K1TFqSnZOcleTyJJclec2ka5qUJFsk+WqSr7dj8bZJ1zRpSTZJ8rUkn5t0LZOU5Koklya5OMnySdczG16DWE9JfgO4HTihqp4w6XomKcmOwI5VdVGSrYELgQOr6psTLm2DSxJgy6q6PclmwJeB11TVeRMubWKSvB5YBjysqvafdD2TkuQqYFlVzYcvys2KZxDrqaq+BNw06Trmg6q6rqouatO3AZcDiydb1WTU4PY2u1n7W7DvwpIsAZ4DfHDStWjdGRCaU0mWAk8Czp9sJZPThlQuBlYBp1fVgj0WwLuBPwHumXQh80ABX0xyYbtl0LxnQGjOJNkK+DTw2qr64aTrmZSquruqdme4G8CeSRbkEGSS/YFVVXXhpGuZJ/auqicz3LH6lW2Yel4zIDQn2nj7p4GPVtVnJl3PfFBVtwBnA8+ccCmTsjfwO23s/ePAPkk+MtmSJqeqrm2Pq4CTGe5gPa8ZEHrA2oXZY4HLq+pdk65nkpIsSrJtm34osB/wrclWNRlV9aaqWlJVSxlunXNmVf3ehMuaiCRbtg9wkGRL4LeAef8JSANiPSU5EfgKsFuSlUmOmHRNE7Q38FKGd4gXt79nT7qoCdkROCvJJQz3Fzu9qhb0xzsFwCOBLyf5OvBV4PNV9YUJ1zQjP+YqSeryDEKS1GVASJK6DAhJUpcBIUnqMiAkSV0GhOa9JK9ud4r96Bxs66+S7Nemz04y5z8gn+S4JAfN0OewJDuNzH8wyePnsIbDkrxvDctOm/quhrQ28+YnR6W1+APgWVX13Qe6oap6yxzUQ5JNquruB7CJwxi+KDX17dqXzUVds1FVC/U7KlpHnkFoXkvyAeCxwKlJXpdkzyT/2X5f4D+T7Nb6HZbkX5N8Nsl3k7wqyetbv/OSbNf63e/dfZIjkhw9Mv/yJPf7RniS29sZyPnAU5P8apJz2s3X/q3d9nz6Om9JckGSbyQ5JoODGG5//dH2pcKHjp7NJHlR+92AbyQ5atr+39F+a+K8JI9s7Qe3vl9P8qWR3e+U5AtJrkjytyPbuSrJ9kmWJvlWkuOTXJLkU0l+fn3+nfQgVVX++Tev/4CrgO3b9MOATdv0fsCn2/RhwApga2ARcCvwirbsaIYbCAIcBxzUps9meKHeEvgOsFlr/0/gVzp1FPD8Nr1Z67eozb8A+FBnH9uNrP9h4Lmj+x5ZNlXLTsDV7TlsCpzJ8NsaU/ufWv9vgT9v05cCi9v0tiPH40pgG2AL4HvAzqPHE1jatrl3a/8Q8MeT/vf2b/78eQahjc02wCcz/JLf0cAvjyw7q6puq6rVDAHx2dZ+KcOLYVdV/YjhhXj/JP+DISgu7XS9m+GGhAC7AU8ATm+39v5zhru3TveMJOcnuRTYZ1q9PXsAZ1fV6qq6C/goMHXXz58AU7ftuHDkOZ0LHJfk5cAmI9s6o6purao7gW8Cj+7s75qqOrdNfwT4tRnq0wLiNQhtbN7OEATPa789cfbIsh+PTN8zMn8PM/+3/kHgzQw31vuXNfS5s+697hDgsqp66po2mGQL4J8YzhSuSfJWhnfza5O1LPtpVU3dG+du2nOqqlckeQrDD/NcnGT31mf0ePys/zTT77XjvXf0M55BaGOzDfD9Nn3YXG20hh/12Rl4MXDiLFb5NrAoyVNhuN15kulnB1NhcEP7rYzRax+3MQyHTXc+8PR2jWAT4EXAOWsrJMkvVtX5NVyAv6E9j9l61NRzaPv68jqsqwc5A0Ibm78F/ibJudx3OGUunAScW1U3z9Sxqn7C8IJ/VLtD58XA06b1uQX4Z4Yhrn9luLvrlOOAD0xdpB5Z5zrgTcBZwNeBi6rqlBnK+bupi9rAl9p6s3U5cGi7++x2wPvXYV09yHk3V6lJ8jng6Ko6Y9K1bAhtiO5zVbUgf/FOM/MMQgtekm2T/Bfw3wslHKTZ8AxCktTlGYQkqcuAkCR1GRCSpC4DQpLUZUBIkrr+P4pKPqgJ9vxqAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'famrel', data=data, order=[1,2,3,4,5])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"family relationship\")\n",
    "figure.grid(False)\n",
    "plt.title('family relationship Distribution')\n",
    "plt.savefig('fam_relationship_plot.png', bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'freetime', data=data, order=[1,2,3,4,5])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"Freetime\")\n",
    "figure.grid(False)\n",
    "plt.title('Free time Distribution')\n",
    "plt.savefig('free_time_plot.png', bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'goout', data=data, order=[1,2,3,4,5])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"Going Out\")\n",
    "figure.grid(False)\n",
    "plt.title('Going Out Distribution')\n",
    "plt.savefig('Going_out_plot.png', bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'Dalc', data=data, order=[1,2,3,4,5])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"Working\")\n",
    "figure.grid(False)\n",
    "plt.title('Working day alcohol consumption Distribution')\n",
    "f, ax = plt.subplots()\n",
    "figure = sns.countplot(x = 'Walc', data=data, order=[1,2,3,4,5])\n",
    "ax = ax.set(ylabel=\"Count\", xlabel=\"Weekends\")\n",
    "figure.grid(False)\n",
    "plt.title('Weekend alcohol consumption Distribution')\n",
    "plt.savefig('alcohol_consumption_plot.png', bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 261,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>school</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>address</th>\n",
       "      <th>famsize</th>\n",
       "      <th>Pstatus</th>\n",
       "      <th>Medu</th>\n",
       "      <th>Fedu</th>\n",
       "      <th>Mjob</th>\n",
       "      <th>Fjob</th>\n",
       "      <th>...</th>\n",
       "      <th>goout</th>\n",
       "      <th>Dalc</th>\n",
       "      <th>Walc</th>\n",
       "      <th>health</th>\n",
       "      <th>absences</th>\n",
       "      <th>G1</th>\n",
       "      <th>G2</th>\n",
       "      <th>G3</th>\n",
       "      <th>subject</th>\n",
       "      <th>FinalGrade</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>18</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>A</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>at_home</td>\n",
       "      <td>teacher</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>17</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>at_home</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>15</td>\n",
       "      <td>U</td>\n",
       "      <td>LE3</td>\n",
       "      <td>T</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>at_home</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>15</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>health</td>\n",
       "      <td>services</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>16</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>other</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 35 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  school sex  age address famsize Pstatus  Medu  Fedu     Mjob      Fjob  \\\n",
       "0     GP   F   18       U     GT3       A     4     4  at_home   teacher   \n",
       "1     GP   F   17       U     GT3       T     1     1  at_home     other   \n",
       "2     GP   F   15       U     LE3       T     1     1  at_home     other   \n",
       "3     GP   F   15       U     GT3       T     4     2   health  services   \n",
       "4     GP   F   16       U     GT3       T     3     3    other     other   \n",
       "\n",
       "       ...      goout Dalc  Walc  health  absences  G1  G2  G3     subject  \\\n",
       "0      ...          4    1     1       3         4   0  11  11  Portuguese   \n",
       "1      ...          3    1     1       3         2   9  11  11  Portuguese   \n",
       "2      ...          2    2     3       3         6  12  13  12  Portuguese   \n",
       "3      ...          2    1     1       5         0  14  14  14  Portuguese   \n",
       "4      ...          2    1     2       5         0  11  13  13  Portuguese   \n",
       "\n",
       "     FinalGrade  \n",
       "0  Satisfactory  \n",
       "1  Satisfactory  \n",
       "2  Satisfactory  \n",
       "3  Satisfactory  \n",
       "4  Satisfactory  \n",
       "\n",
       "[5 rows x 35 columns]"
      ]
     },
     "execution_count": 261,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# convert finalscore to categorical variable\n",
    "data = pd.read_csv('students.csv')\n",
    "data.head()\n",
    "data['FinalGrade'] = 'na'\n",
    "data.loc[(data.G3 >= 18) & (data.G3 <= 20), 'FinalGrade'] = 'Excellent'\n",
    "data.loc[(data.G3 >= 15) & (data.G3 <= 17), 'FinalGrade'] = 'Good' \n",
    "data.loc[(data.G3 >= 11) & (data.G3 <= 14), 'FinalGrade'] = 'Satisfactory' \n",
    "data.loc[(data.G3 >= 6) & (data.G3 <= 10), 'FinalGrade'] = 'Poor' \n",
    "data.loc[(data.G3 >= 0) & (data.G3 <= 5), 'FinalGrade'] = 'Failure' \n",
    "data.head(5)\n",
    "\n",
    "# data.drop(['Grade'],axis=1)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 262,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# relationship status\n",
    "perc = (lambda col: col/col.sum())\n",
    "index = ['Failure','Poor','Satisfactory','Good','Excellent']\n",
    "relationship_index = pd.crosstab(index=data.FinalGrade, columns=data.romantic)\n",
    "romantic_index = relationship_index.apply(perc).reindex(index)\n",
    "romantic_index.plot.bar(fontsize=16, figsize=(14,8))\n",
    "plt.title('Grade By Relationship Status', fontsize=20)\n",
    "plt.ylabel('Percentage of Students', fontsize=16)\n",
    "plt.xlabel('Final Grade', fontsize=16)\n",
    "plt.savefig('Grade_Relationshipstatus.png', bbox_inches='tight')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# relationship status\n",
    "perc = (lambda col: col/col.sum())\n",
    "index = ['Failure','Poor','Satisfactory','Good','Excellent']\n",
    "relationship_index = pd.crosstab(index=data.FinalGrade, columns=data.famsup)\n",
    "romantic_index = relationship_index.apply(perc).reindex(index)\n",
    "romantic_index.plot.bar(fontsize=16, figsize=(14,8))\n",
    "plt.title('Grade By family support Status', fontsize=20)\n",
    "plt.ylabel('Percentage of Students', fontsize=16)\n",
    "plt.xlabel('Final Grade', fontsize=16)\n",
    "plt.savefig('Grade_family support.png', bbox_inches='tight')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# relationship status\n",
    "perc = (lambda col: col/col.sum())\n",
    "index = ['Failure','Poor','Satisfactory','Good','Excellent']\n",
    "relationship_index = pd.crosstab(index=data.FinalGrade, columns=data.age)\n",
    "romantic_index = relationship_index.apply(perc).reindex(index)\n",
    "romantic_index.plot.bar(fontsize=16, figsize=(14,8))\n",
    "plt.title('Grade By age ', fontsize=20)\n",
    "plt.ylabel('Percentage of Students', fontsize=16)\n",
    "plt.xlabel('Final Grade', fontsize=16)\n",
    "plt.savefig('Grade_Age.png', bbox_inches='tight')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Dalc - workday alcohol consumption\n",
    "alcohol_index = pd.crosstab(index=data.FinalGrade, columns=data.Dalc)\n",
    "workday_alcohol_index = alcohol_index.apply(perc).reindex(index)\n",
    "workday_alcohol_index.plot.bar(fontsize=16, figsize=(14,8))\n",
    "plt.title('Grade By workday alcohol Consumption', fontsize=20)\n",
    "plt.ylabel('Percentage of Students ', fontsize=16)\n",
    "plt.xlabel('Final Grade', fontsize=16)\n",
    "plt.savefig('Grade_workday_alchol.png', bbox_inches='tight')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 264,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Walc - weekday alcohol consumption\n",
    "alcohol_index = pd.crosstab(index=data.FinalGrade, columns=data.Walc)\n",
    "weekend_alcohol_index = alcohol_index.apply(perc).reindex(index)\n",
    "\n",
    "weekend_alcohol_index.plot.bar(colormap='winter',fontsize=16, figsize=(14,8))\n",
    "plt.title('Grade By weekend alcohol Consumption', fontsize=20)\n",
    "plt.ylabel('Percentage of Students ', fontsize=16)\n",
    "plt.xlabel('Final Grade', fontsize=16)\n",
    "plt.savefig('Grade_weekend_alchol.png', bbox_inches='tight')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# health - current health status\n",
    "health_index = pd.crosstab(index=data.FinalGrade, columns=data.health)\n",
    "Overall_health_index = health_index.apply(perc).reindex(index)\n",
    "\n",
    "Overall_health_index.plot.bar(colormap='summer',fontsize=16, figsize=(14,8))\n",
    "plt.title('Grade By Overall health', fontsize=20)\n",
    "plt.ylabel('Percentage of Students ', fontsize=16)\n",
    "plt.xlabel('Final Grade', fontsize=16)\n",
    "plt.savefig('Grade_overall_health.png', bbox_inches='tight')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# goout - going out with friends (numeric: from 1 - very low to 5 - very high) \n",
    "goout_index = pd.crosstab(index=data.FinalGrade, columns=data.goout)\n",
    "Overall_goout_index = goout_index.apply(perc).reindex(index)\n",
    "Overall_goout_index.plot.bar(colormap='jet',fontsize=16, figsize=(14,8))\n",
    "plt.title('Grade By Going Out frequency', fontsize=20)\n",
    "plt.ylabel('Percentage of Students ', fontsize=16)\n",
    "plt.xlabel('Final Grade', fontsize=16)\n",
    "plt.savefig('Grade_going_out.png', bbox_inches='tight')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 267,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>school</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>address</th>\n",
       "      <th>famsize</th>\n",
       "      <th>Pstatus</th>\n",
       "      <th>Medu</th>\n",
       "      <th>Fedu</th>\n",
       "      <th>Mjob</th>\n",
       "      <th>Fjob</th>\n",
       "      <th>...</th>\n",
       "      <th>Dalc</th>\n",
       "      <th>Walc</th>\n",
       "      <th>health</th>\n",
       "      <th>absences</th>\n",
       "      <th>G1</th>\n",
       "      <th>G2</th>\n",
       "      <th>G3</th>\n",
       "      <th>subject</th>\n",
       "      <th>FinalGrade</th>\n",
       "      <th>Regularity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>18</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>A</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>at_home</td>\n",
       "      <td>teacher</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Always Regular</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>17</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>at_home</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Always Regular</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>15</td>\n",
       "      <td>U</td>\n",
       "      <td>LE3</td>\n",
       "      <td>T</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>at_home</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Always Regular</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>15</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>health</td>\n",
       "      <td>services</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Always Regular</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>16</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>other</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Always Regular</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  school sex  age address famsize Pstatus  Medu  Fedu     Mjob      Fjob  \\\n",
       "0     GP   F   18       U     GT3       A     4     4  at_home   teacher   \n",
       "1     GP   F   17       U     GT3       T     1     1  at_home     other   \n",
       "2     GP   F   15       U     LE3       T     1     1  at_home     other   \n",
       "3     GP   F   15       U     GT3       T     4     2   health  services   \n",
       "4     GP   F   16       U     GT3       T     3     3    other     other   \n",
       "\n",
       "        ...       Dalc Walc  health  absences  G1  G2  G3     subject  \\\n",
       "0       ...          1    1       3         4   0  11  11  Portuguese   \n",
       "1       ...          1    1       3         2   9  11  11  Portuguese   \n",
       "2       ...          2    3       3         6  12  13  12  Portuguese   \n",
       "3       ...          1    1       5         0  14  14  14  Portuguese   \n",
       "4       ...          1    2       5         0  11  13  13  Portuguese   \n",
       "\n",
       "     FinalGrade      Regularity  \n",
       "0  Satisfactory  Always Regular  \n",
       "1  Satisfactory  Always Regular  \n",
       "2  Satisfactory  Always Regular  \n",
       "3  Satisfactory  Always Regular  \n",
       "4  Satisfactory  Always Regular  \n",
       "\n",
       "[5 rows x 36 columns]"
      ]
     },
     "execution_count": 267,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#absences - number of school absences (numeric: from 0 to 93) \n",
    "data.head()\n",
    "data['Regularity'] = 'na'\n",
    "data.loc[(data.absences >= 0) & (data.absences <= 9), 'Regularity'] = 'Always Regular'\n",
    "data.loc[(data.absences >= 10) & (data.absences <= 29), 'Regularity'] = 'Mostly Regular' \n",
    "data.loc[(data.absences >= 30) & (data.absences <= 49), 'Regularity'] = 'Regular' \n",
    "data.loc[(data.absences >= 50) & (data.absences <= 79), 'Regularity'] = 'Irregular' \n",
    "data.loc[(data.absences >= 80)& (data.absences <= 93), 'Regularity'] = 'Highly Irregular'\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 284,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "index = ['Failure','Poor','Satisfactory','Good','Excellent']\n",
    "absences = pd.crosstab(index=data.FinalGrade, columns=data.Regularity)\n",
    "absences = perc(absences)\n",
    "absences.plot.bar(fontsize=16, figsize=(14,8))\n",
    "plt.title('Grade by students regularity', fontsize=20)\n",
    "plt.ylabel('Percentage of Students', fontsize=16)\n",
    "plt.xlabel('Final Grade', fontsize=16)\n",
    "plt.show()\n",
    "plt.savefig('Grade_regularity.png', bbox_inches='tight')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 31 G1 - first period grade (numeric: from 0 to 20)\n",
    "# 31 G2 - second period grade (numeric: from 0 to 20)\n",
    "# 32 G3 - final grade (numeric: from 0 to 20, output target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 270,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>school</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>address</th>\n",
       "      <th>famsize</th>\n",
       "      <th>Pstatus</th>\n",
       "      <th>Medu</th>\n",
       "      <th>Fedu</th>\n",
       "      <th>Mjob</th>\n",
       "      <th>Fjob</th>\n",
       "      <th>...</th>\n",
       "      <th>health</th>\n",
       "      <th>absences</th>\n",
       "      <th>G1</th>\n",
       "      <th>G2</th>\n",
       "      <th>G3</th>\n",
       "      <th>subject</th>\n",
       "      <th>FinalGrade</th>\n",
       "      <th>Regularity</th>\n",
       "      <th>Grade1</th>\n",
       "      <th>Grade2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>18</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>A</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>at_home</td>\n",
       "      <td>teacher</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Always Regular</td>\n",
       "      <td>Failure</td>\n",
       "      <td>Satisfactory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>17</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>at_home</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Always Regular</td>\n",
       "      <td>Poor</td>\n",
       "      <td>Satisfactory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>15</td>\n",
       "      <td>U</td>\n",
       "      <td>LE3</td>\n",
       "      <td>T</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>at_home</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Always Regular</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Satisfactory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>15</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>health</td>\n",
       "      <td>services</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Always Regular</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Satisfactory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>16</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>other</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Always Regular</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Satisfactory</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  school sex  age address famsize Pstatus  Medu  Fedu     Mjob      Fjob  \\\n",
       "0     GP   F   18       U     GT3       A     4     4  at_home   teacher   \n",
       "1     GP   F   17       U     GT3       T     1     1  at_home     other   \n",
       "2     GP   F   15       U     LE3       T     1     1  at_home     other   \n",
       "3     GP   F   15       U     GT3       T     4     2   health  services   \n",
       "4     GP   F   16       U     GT3       T     3     3    other     other   \n",
       "\n",
       "       ...      health absences  G1  G2  G3     subject    FinalGrade  \\\n",
       "0      ...           3        4   0  11  11  Portuguese  Satisfactory   \n",
       "1      ...           3        2   9  11  11  Portuguese  Satisfactory   \n",
       "2      ...           3        6  12  13  12  Portuguese  Satisfactory   \n",
       "3      ...           5        0  14  14  14  Portuguese  Satisfactory   \n",
       "4      ...           5        0  11  13  13  Portuguese  Satisfactory   \n",
       "\n",
       "       Regularity        Grade1        Grade2  \n",
       "0  Always Regular       Failure  Satisfactory  \n",
       "1  Always Regular          Poor  Satisfactory  \n",
       "2  Always Regular  Satisfactory  Satisfactory  \n",
       "3  Always Regular  Satisfactory  Satisfactory  \n",
       "4  Always Regular  Satisfactory  Satisfactory  \n",
       "\n",
       "[5 rows x 38 columns]"
      ]
     },
     "execution_count": 270,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Grade1'] = 'na'\n",
    "data.loc[(data.G1 >= 18) & (data.G1 <= 20), 'Grade1'] = 'Excellent'\n",
    "data.loc[(data.G1 >= 15) & (data.G1 <= 17), 'Grade1'] = 'Good' \n",
    "data.loc[(data.G1 >= 11) & (data.G1 <= 14), 'Grade1'] = 'Satisfactory' \n",
    "data.loc[(data.G1 >= 6) & (data.G1 <= 10), 'Grade1'] = 'Poor' \n",
    "data.loc[(data.G1 >= 0) & (data.G1 <= 5), 'Grade1'] = 'Failure' \n",
    "\n",
    "data['Grade2'] = 'na'\n",
    "data.loc[(data.G2 >= 18) & (data.G2 <= 20), 'Grade2'] = 'Excellent'\n",
    "data.loc[(data.G2 >= 15) & (data.G2 <= 17), 'Grade2'] = 'Good' \n",
    "data.loc[(data.G2 >= 11) & (data.G2 <= 14), 'Grade2'] = 'Satisfactory' \n",
    "data.loc[(data.G2 >= 6) & (data.G2 <= 10), 'Grade2'] = 'Poor' \n",
    "data.loc[(data.G2 >= 0) & (data.G2 <= 5), 'Grade2'] = 'Failure' \n",
    "\n",
    "data.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 271,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "index = ['Failure','Poor','Satisfactory','Good','Excellent']\n",
    "internet_index = pd.crosstab(index=data.FinalGrade, columns=data.internet)\n",
    "internet_index = internet_index.apply(perc).reindex(index)\n",
    "internet_index.plot.bar(fontsize=16, figsize=(14,8))\n",
    "plt.title('Grade By internet Status', fontsize=20)\n",
    "plt.ylabel('Percentage of Students', fontsize=16)\n",
    "plt.xlabel('Final Grade', fontsize=16)\n",
    "plt.savefig('Grade_internet_status.png', bbox_inches='tight')\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 272,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "index = ['Failure','Poor','Satisfactory','Good','Excellent']\n",
    "studytime_index = pd.crosstab(index=data.FinalGrade, columns=data.studytime)\n",
    "studytime_index = studytime_index.apply(perc).reindex(index)\n",
    "studytime_index.plot.bar(fontsize=16, figsize=(14,8))\n",
    "plt.title('Grade By Study Time', fontsize=20)\n",
    "plt.ylabel('Percentage of Students', fontsize=16)\n",
    "plt.xlabel('Final Grade', fontsize=16)\n",
    "plt.savefig('Grade_study_time.png', bbox_inches='tight')\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "index = ['Failure','Poor','Satisfactory','Good','Excellent']\n",
    "gender_index = pd.crosstab(index=data.FinalGrade, columns=data.sex)\n",
    "gender_index = gender_index.apply(perc).reindex(index)\n",
    "gender_index.plot.bar(fontsize=16, figsize=(14,8))\n",
    "plt.title('Grade By gender', fontsize=20)\n",
    "plt.ylabel('Percentage of Students', fontsize=16)\n",
    "plt.xlabel('Final Grade', fontsize=16)\n",
    "plt.savefig('Grade_gender.png', bbox_inches='tight')\n",
    "\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "index = ['Failure','Poor','Satisfactory','Good','Excellent']\n",
    "Location_index = pd.crosstab(index=data.FinalGrade, columns=data.address)\n",
    "Location_index = Location_index.apply(perc).reindex(index)\n",
    "Location_index.plot.bar(fontsize=16, figsize=(14,8))\n",
    "plt.title('Grade By Location', fontsize=20)\n",
    "plt.ylabel('Percentage of Students', fontsize=16)\n",
    "plt.xlabel('Final Grade', fontsize=16)\n",
    "plt.savefig('Grade_location.png', bbox_inches='tight')\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "index = ['Failure','Poor','Satisfactory','Good','Excellent']\n",
    "Mothers_index = pd.crosstab(index=data.FinalGrade, columns=data.Mjob)\n",
    "Mothers_index = Mothers_index.apply(perc).reindex(index)\n",
    "Mothers_index.plot.bar(fontsize=16, figsize=(14,8))\n",
    "plt.title('Grade By Mothers Job', fontsize=20)\n",
    "plt.ylabel('Percentage of Students', fontsize=16)\n",
    "plt.xlabel('Final Grade', fontsize=16)\n",
    "plt.show()\n",
    "\n",
    "index = ['Failure','Poor','Satisfactory','Good','Excellent']\n",
    "Fathers_index = pd.crosstab(index=data.FinalGrade, columns=data.Fjob)\n",
    "Fathers_index = Fathers_index.apply(perc).reindex(index)\n",
    "Fathers_index.plot.bar(fontsize=16, figsize=(14,8))\n",
    "plt.title('Grade By Fathers Job', fontsize=20)\n",
    "plt.ylabel('Percentage of Students', fontsize=16)\n",
    "plt.xlabel('Final Grade', fontsize=16)\n",
    "plt.savefig('Grade_mothers_fathers_job.png', bbox_inches='tight')\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "index = ['Failure','Poor','Satisfactory','Good','Excellent']\n",
    "Mothers_index = pd.crosstab(index=data.FinalGrade, columns=data.Medu)\n",
    "Mothers_index = Mothers_index.apply(perc).reindex(index)\n",
    "Mothers_index.plot.bar(fontsize=16, figsize=(14,8))\n",
    "plt.title('Grade By Mothers Education', fontsize=20)\n",
    "plt.ylabel('Percentage of Students', fontsize=16)\n",
    "plt.xlabel('Final Grade', fontsize=16)\n",
    "plt.show()\n",
    "\n",
    "index = ['Failure','Poor','Satisfactory','Good','Excellent']\n",
    "Fathers_index = pd.crosstab(index=data.FinalGrade, columns=data.Fedu)\n",
    "Fathers_index = Fathers_index.apply(perc).reindex(index)\n",
    "Fathers_index.plot.bar(fontsize=16, figsize=(14,8))\n",
    "plt.title('Grade By Fathers Education', fontsize=20)\n",
    "plt.ylabel('Percentage of Students', fontsize=16)\n",
    "plt.xlabel('Final Grade', fontsize=16)\n",
    "plt.savefig('Grade_mothers_fathers_edu.png', bbox_inches='tight')\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "index = ['Failure','Poor','Satisfactory','Good','Excellent']\n",
    "higher_index = pd.crosstab(index=data.FinalGrade, columns=data.higher)\n",
    "higher_index = higher_index.apply(perc).reindex(index)\n",
    "higher_index.plot.bar(fontsize=16, figsize=(14,8))\n",
    "plt.title('Grade By higher education Status', fontsize=20)\n",
    "plt.ylabel('Percentage of Students', fontsize=16)\n",
    "plt.xlabel('Final Grade', fontsize=16)\n",
    "plt.savefig('Grade_mhigher_education_status.png', bbox_inches='tight')\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 278,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "index = ['Failure','Poor','Satisfactory','Good','Excellent']\n",
    "status_index = pd.crosstab(index=data.FinalGrade, columns=data.Pstatus)\n",
    "status_index = status_index.apply(perc).reindex(index)\n",
    "status_index.plot.bar(fontsize=16, figsize=(14,8))\n",
    "plt.title('Grade By Parental Status', fontsize=20)\n",
    "plt.ylabel('Percentage of Students', fontsize=16)\n",
    "plt.xlabel('Final Grade', fontsize=16)\n",
    "plt.savefig('Grade_Parental_status.png', bbox_inches='tight')\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 285,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "index = ['Failure','Poor','Satisfactory','Good','Excellent']\n",
    "status_index = pd.crosstab(index=data.FinalGrade, columns=data.failures)\n",
    "status_index = status_index.apply(perc).reindex(index)\n",
    "status_index.plot.bar(fontsize=16, figsize=(14,8))\n",
    "plt.title('Grade By failures', fontsize=20)\n",
    "plt.ylabel('Percentage of Students', fontsize=16)\n",
    "plt.xlabel('Final Grade', fontsize=16)\n",
    "plt.savefig('Grade_Failure_status.png', bbox_inches='tight')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 286,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "index = ['Failure','Poor','Satisfactory','Good','Excellent']\n",
    "status_index = pd.crosstab(index=data.FinalGrade, columns=data.freetime)\n",
    "status_index = status_index.apply(perc).reindex(index)\n",
    "status_index.plot.bar(fontsize=16, figsize=(14,8))\n",
    "plt.title('Grade By freetime', fontsize=20)\n",
    "plt.ylabel('Percentage of Students', fontsize=16)\n",
    "plt.xlabel('Final Grade', fontsize=16)\n",
    "plt.savefig('Grade_freetime_status.png', bbox_inches='tight')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 279,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>school</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>address</th>\n",
       "      <th>famsize</th>\n",
       "      <th>Pstatus</th>\n",
       "      <th>Medu</th>\n",
       "      <th>Fedu</th>\n",
       "      <th>Mjob</th>\n",
       "      <th>Fjob</th>\n",
       "      <th>...</th>\n",
       "      <th>health</th>\n",
       "      <th>absences</th>\n",
       "      <th>G1</th>\n",
       "      <th>G2</th>\n",
       "      <th>G3</th>\n",
       "      <th>subject</th>\n",
       "      <th>FinalGrade</th>\n",
       "      <th>Regularity</th>\n",
       "      <th>Grade1</th>\n",
       "      <th>Grade2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>18</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>A</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>at_home</td>\n",
       "      <td>teacher</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Always Regular</td>\n",
       "      <td>Failure</td>\n",
       "      <td>Satisfactory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>17</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>at_home</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Always Regular</td>\n",
       "      <td>Poor</td>\n",
       "      <td>Satisfactory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>15</td>\n",
       "      <td>U</td>\n",
       "      <td>LE3</td>\n",
       "      <td>T</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>at_home</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Always Regular</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Satisfactory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>15</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>health</td>\n",
       "      <td>services</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Always Regular</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Satisfactory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>16</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>other</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Always Regular</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Satisfactory</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  school sex  age address famsize Pstatus  Medu  Fedu     Mjob      Fjob  \\\n",
       "0     GP   F   18       U     GT3       A     4     4  at_home   teacher   \n",
       "1     GP   F   17       U     GT3       T     1     1  at_home     other   \n",
       "2     GP   F   15       U     LE3       T     1     1  at_home     other   \n",
       "3     GP   F   15       U     GT3       T     4     2   health  services   \n",
       "4     GP   F   16       U     GT3       T     3     3    other     other   \n",
       "\n",
       "       ...      health absences  G1  G2  G3     subject    FinalGrade  \\\n",
       "0      ...           3        4   0  11  11  Portuguese  Satisfactory   \n",
       "1      ...           3        2   9  11  11  Portuguese  Satisfactory   \n",
       "2      ...           3        6  12  13  12  Portuguese  Satisfactory   \n",
       "3      ...           5        0  14  14  14  Portuguese  Satisfactory   \n",
       "4      ...           5        0  11  13  13  Portuguese  Satisfactory   \n",
       "\n",
       "       Regularity        Grade1        Grade2  \n",
       "0  Always Regular       Failure  Satisfactory  \n",
       "1  Always Regular          Poor  Satisfactory  \n",
       "2  Always Regular  Satisfactory  Satisfactory  \n",
       "3  Always Regular  Satisfactory  Satisfactory  \n",
       "4  Always Regular  Satisfactory  Satisfactory  \n",
       "\n",
       "[5 rows x 38 columns]"
      ]
     },
     "execution_count": 279,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['school', 'sex', 'age', 'address', 'famsize', 'Pstatus', 'Medu', 'Fedu',\n",
       "       'Mjob', 'Fjob', 'reason', 'guardian', 'traveltime', 'studytime',\n",
       "       'failures', 'schoolsup', 'famsup', 'paid', 'activities', 'nursery',\n",
       "       'higher', 'internet', 'romantic', 'famrel', 'freetime', 'goout', 'Dalc',\n",
       "       'Walc', 'health', 'absences', 'G1', 'G2', 'G3', 'subject', 'FinalGrade',\n",
       "       'Regularity', 'Grade1', 'Grade2'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 280,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 281,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1044, 38)"
      ]
     },
     "execution_count": 281,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 282,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.to_csv('features.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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